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High-Throughput Processing of Space Debris Data

Schreiber, Andreas (2016) High-Throughput Processing of Space Debris Data. International Symposium on Grids and Clouds 2016, 13.-18. Mär. 2016, Taipei, Taiwan. (Unpublished)

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Official URL: https://indico4.twgrid.org/indico/event/1/session/15/contribution/45

Abstract

Space Debris are defunct objects in space, including old space vehicles or fragments from collisions. Space debris can cause great damage to functional space ships and satellites. Thus detection of space debris and prediction of their orbital paths are essential. The talk shows a Python based infrastructure for storing space debris data from sensors and high-throughput processing of that data.

Item URL in elib:https://elib.dlr.de/110532/
Document Type:Conference or Workshop Item (Speech)
Title:High-Throughput Processing of Space Debris Data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schreiber, AndreasAndreas.Schreiber (at) dlr.dehttps://orcid.org/0000-0001-5750-5649
Date:15 March 2016
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Unpublished
Keywords:Space debris, big data, data science, Python, distributed systems, provenance
Event Title:International Symposium on Grids and Clouds 2016
Event Location:Taipei, Taiwan
Event Type:international Conference
Event Dates:13.-18. Mär. 2016
Organizer:Academia Sinica Grids & Clouds
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Aufbau und Aktualisierung eines DLR-Katalogs für Raumfahrtrückstande (Space Debris)
Location: Berlin-Adlershof , Köln-Porz
Institutes and Institutions:Institut of Simulation and Software Technology > Distributed Systems and Component Software
Institut of Simulation and Software Technology
Deposited By: Schreiber, Andreas
Deposited On:11 Jan 2017 14:01
Last Modified:11 Jan 2017 14:01

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